This paper provides a novel algorithm for supporting automatic learning oriented to advanced human-machine interfaces. The algorithm introduces several points of innovativeness, based on complex similarity metrics involving several features of the whole learning process. A comprehensive experimental assessment and analysis of the proposed algorithm on both synthetic and real-life data sets confirms the benefits deriving from our proposal.
Automatic Learning for Supporting Advanced Human-Machine Interfaces / Cuzzocrea, Alfredo Massimiliano; Mumolo, Enzo; Grasso, Giorgio Mario. - STAMPA. - (2015), pp. 12-18. ( Ninth International Conference on Complex, Intelligent, and Software Intensive Systems Blumenau, Brazil July 8-10, 2015) [10.1109/CISIS.2015.7].
Automatic Learning for Supporting Advanced Human-Machine Interfaces
CUZZOCREA, Alfredo Massimiliano;MUMOLO, ENZO;
2015-01-01
Abstract
This paper provides a novel algorithm for supporting automatic learning oriented to advanced human-machine interfaces. The algorithm introduces several points of innovativeness, based on complex similarity metrics involving several features of the whole learning process. A comprehensive experimental assessment and analysis of the proposed algorithm on both synthetic and real-life data sets confirms the benefits deriving from our proposal.| File | Dimensione | Formato | |
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